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Hybrid Event

5th - 6th August 2026 | Ghent, Belgium

International Conference on Big Data Analytics and Statistical Modeling (ICBDASM - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICBDASM) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Statistics, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Big data analytics techniques and tools
02
Statistical modeling for large datasets
03
Data mining and statistical methods
04
Machine learning applications in big data
05
Statistical challenges in big data
06
Predictive analytics in business intelligence
07
Big data visualization techniques
08
Statistical methods for real-time data
09
Applications of big data in healthcare
10
Big data ethics and privacy concerns
11
Statistical modeling in social media analysis
12
Big data applications in finance
13
Data quality and statistical reliability
14
Statistical methods for streaming data
15
Big data and machine learning integration
16
Statistical analysis of network data
17
Big data applications in environmental science
18
Statistical techniques for unstructured data
19
Big data in education and research
20
Future trends in big data analytics

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.